Track: Undergraduate Research Competition

Abstract

This paper has compared double V-shape and Delta-shape rotor topologies by different optimal magnet angles. The power and torque are improved by changing the thickness of the outer bridge, and magnetic width. Various metamodels were generated for each of the multi-objective functions and constraints, and the metamodels with the best prediction performance were selected. By applying a multi-objective genetic algorithm, several optimal solutions were compared to those of the initial model. The proposed multi-objective optimization method can guide the design of IPMs for electric vehicles with high reliability and maximum torque. This program allows estimating electromagnetic torque, and ripple torque by analytical MATLAB program coupling to finite element magnetic method (FEMM) and GA optimization. Finally, rotor lamination was stamped and assembled in the motor for the back EMF test and no-load test. In order to evaluate the electromagnetic characteristic, a 2D FEM program has been implemented to compare with a commercial IPM motor from Roewe Marvel X AWD